Worked on a team of developers creating and testing software for day traders for a hedge fund with $24.6 billion assets under management.•Played a pivotal role by promptly notifying about live issues and rolling back changes based on direct feedback from traders and regressions in daily monitoring metrics. •Reduced service outage response time to two minutes, minimizing downtime for day traders.•Addressed performance issues by conducting daily Splunk chart analysis, investigating effects of version and variable changes, and identifying contributing variables, resulting in early detection of regressions and major performance problems. •Wrote Splunk queries to monitor trends over a range of different time intervals, providing comprehensive insights into system changes. •Conducted thorough daily checks on the health of essential trading services, including logging of the previous day's data and early morning health of services, providing a stable and reliable trading platform for end-users.•Ensured clear communication with the team at daily standup, making sure everyone is up to date with time and details of events early in the day and suggestions for resolving the issues. •Successfully executed seamless backend releases across development environments, attentively noting and addressing any behavioral changes before progressing to the next environment.•Orchestrated deployments in Bamboo by ensuring smooth and controlled release processes while adhering to version compatibility.•Proactively managed machine load on Citrix servers, maintaining a balanced user distribution for optimal performance and resource utilization.•Implemented a robust monitoring system to track machine restarts and uptime according to daily and weekly schedules.•Guaranteed the integrity of code versions through meticulous cleanup and alignment of YAML files, including manual pruning of unused fields and task files and lockstep upgrades.

Worked with a team of Quality Assurance engineers creating end to end tests for the multi-million dollar Caesars Sportsbook app. •Collaborated closely with two junior developers, engaging in frequent pair programming sessions to successfully develop a comprehensive testing suite for sport fixtures under the guidance of senior engineers.•Utilized Spring WebFlux to implement end-to-end testing for four distinct sports, ensuring robust validation of both valid and invalid data as an integral part of the automation process.•Monitored the real-time flow of sports game data within Kafka, meticulously verifying delivery of messages from three feed providers—Betradar, Betgenius, and Donbest—into Caesars’ systems.